Invention Grant
- Patent Title: Network security system and methods for encoding network connectivity for activity classification
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Application No.: US15957221Application Date: 2018-04-19
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Publication No.: US10749882B2Publication Date: 2020-08-18
- Inventor: John Grothendieck , Ilana Heintz
- Applicant: Raytheon BBN Technologies Corp.
- Applicant Address: US MA Cambridge
- Assignee: Raytheon BBN Technologies Corp.
- Current Assignee: Raytheon BBN Technologies Corp.
- Current Assignee Address: US MA Cambridge
- Agency: Lando & Anastasi, LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N3/08 ; G06N3/04 ; H04L29/08

Abstract:
Aspects are generally directed to network security systems and methods of monitoring network activity. In one example, a network security system includes and interface to receive a Hypertext Transfer Protocol (HTTP) network log that includes a matrix of data, a feature extraction component configured to extract a connectivity matrix from the HTTP network log based on a recurring pattern within the matrix of data, and a training module configured to provide deep learning architecture training data based on the connectivity matrix. The system may include a deep learning architecture configured to receive and propagate the training data through one or more layers thereof to train the one or more layers, and being configured to generate a general data representation of the HTTP network log. The system may include a behavior analytics component to detect a discordant network activity within the HTTP network log based on the general data representation.
Public/Granted literature
- US20190327252A1 NETWORK SECURITY SYSTEM AND METHODS FOR ENCODING NETWORK CONNECTIVITY FOR ACTIVITY CLASSIFICATION Public/Granted day:2019-10-24
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